Quick start guide

MLJAR Studio helps you analyze data faster on your own computer. Explore datasets, ask questions, and build analysis with AI - without uploads or complex setup.

You can work in three ways: conversational notebooks (AI Data Analyst), AutoLab Experiments for autonomous ML optimization, and AI Code Assistant for faster Python development.

• AI Data Analyst

  Ask in plain English and get instant insights.

• AutoLab Experiments

  Run autonomous machine learning experiments.

• AI Code Assistant

  Generate, review, and refine Python code.

MLJAR Studio prepares the Python environment automatically, so you can focus on data instead of dependencies. Ask questions and get charts, explanations, and code instantly. Beginners can start quickly, while advanced users keep full control.

Your work is saved as notebook files you can reuse, share, and continue anytime. MLJAR Studio runs locally, so your data stays on your machine.

It also includes ready-to-use recipes for exploration, preparation, and machine learning tasks.

Start with a simple dataset and your first question, then build your analysis step by step.

Quick links

• Get MLJAR Studio

  Download MLJAR Studio for your operating system.

• Install instructions

  Follow the installation guide for your system.

• New notebook

  Create your first notebook in minutes.

• LLM Providers

  Configure MLJAR AI, OpenAI, Ollama, and local models.

• Database Connections

  Connect PostgreSQL and other databases for SQL + AI workflows.

• Support

  Need help? Contact the MLJAR team.